Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of Maryland, Baltimore
- Harvard University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Bergen
- University of Cincinnati
- University of Michigan
- University of Rhode Island
- ;
- Central Michigan University
- Curtin University
- Missouri University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- Queen's University
- The Norwegian Polar Institute
- The University of Queensland
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- University College London
- University of Birmingham
- University of British Columbia
- University of Kansas Medical Center
- University of Michigan - Ann Arbor
- University of New South Wales
- University of Texas at Austin
- Vanderbilt University
- Zintellect
- 18 more »
- « less
-
Field
-
, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
-
the astrophysics of stars and compact stellar remnants. Experience with astronomical data processing, particularly involving radio telescopes. Proficiency with scripting in bash and Python in Linux environments
-
Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
-
. Familiar with Linux OS, virtual environment working and batch scripting. Programming proficiency in R, Python, or MATLAB. Desired Qualifications* Research experience in Molecular Biology, Digital Pathology
-
Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from numerical models is an advantage Experience
-
variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage
-
programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic
-
System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
-
, random forests, etc.), and languages like R, Python, or Julia for health data analysis. Experience in backend/frontend development, data visualization, and web apps using JavaScript, Python, and Linux
-
written and verbal communication skills. The ideal candidate should have experience with LINUX, STAR-CCM+, ANSYS, Fluent, COMSOL, MATLAB, Simulink, and Python. Experience with parallel computing is a plus